Timecorr - a toolbox for calculating dynamic correlations Hypertools - a toolbox for visualizing high dimensional data Nltools - a neuroimaging toolbox for performing multivariate analyses ![]() Nilearn - a neuroimaging toolbox for performing statistical learningīrainiak - a neuroimaging toolbox for performing advanced fMRI analyses Nibabel - a library to read and write common neuroimaging file formats. Throughout this course various tutorials will use the following libraries:ĭatalad - data versioning software (see Download Data tutorial for installation instructions and overview) These notebooks are distributed via a jupyter-book and can be downloaded to run on your personal computer. All of our tutorials will be provided in the form of a Jupyter Notebook. We have included some introductory tutorials in the Background Resources section to help you get up to speed on using Python and in particular how to manipulate data with pandas, plot data, and work with neuroimaging data. For this course, we will be providing hands on tutorials working with real data using open source software written in the Python programming language.
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